package com.cs.sunaiagent.app;

import com.cs.sunaiagent.advisor.MySimpleLoggerAdvisor;
import com.cs.sunaiagent.advisor.ReReadingAdvisor;
import com.cs.sunaiagent.chatmemory.FileBasedChatMemory;
import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.client.advisor.SimpleLoggerAdvisor;
import org.springframework.ai.chat.memory.InMemoryChatMemory;
import org.springframework.ai.chat.metadata.ChatResponseMetadata;
import org.springframework.ai.chat.metadata.Usage;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.stereotype.Component;

import java.util.List;

import static org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor.CHAT_MEMORY_CONVERSATION_ID_KEY;
import static org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY;

/**
 * @author sgl
 * @version 1.0
 * @description: TODO
 * @Date 2025/07/18
 */

@Component
@Slf4j
public class LoveApp {

    private  final ChatClient chatClient;

    private static final String SYSTEM_PROMPT = "扮演深耕恋爱心理领域的专家。开场向用户表明身份，告知用户可倾诉恋爱难题。围绕单身、恋爱、已婚三种状态提问：单身状态询问社交圈拓展及追求心仪对象的困扰；恋爱状态询问沟通、习惯差异引发的矛盾；已婚状态询问家庭责任与亲属关系处理的问题。引导用户详述事情经过、对方反应及自身想法，以便给出专属解决方案。";


    // 构造器注入
    public LoveApp(ChatModel dashscopeChatModel) {
        //基于文件的对话记忆
        String fileDir = System.getProperty("user.dir") + "/tmp/chat-memory";
        FileBasedChatMemory chatMemory = new FileBasedChatMemory(fileDir);

        //基于内存的对话记忆
//        InMemoryChatMemory chatMemory = new InMemoryChatMemory();

        chatClient = ChatClient.builder(dashscopeChatModel)
                .defaultSystem(SYSTEM_PROMPT)
                .defaultAdvisors(
                        new MessageChatMemoryAdvisor(chatMemory),
                        //new SimpleLoggerAdvisor()
                        new MySimpleLoggerAdvisor()
//                        ,new ReReadingAdvisor()
                ).build();

    }


    public String doChat(String message,String chatId){
        ChatResponse chatResponse = chatClient.prompt()
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10)  // 对话记忆大小
                )
                .call()
                .chatResponse();

        String content = chatResponse.getResult().getOutput().toString();
        Integer totalTokens = chatResponse.getMetadata().getUsage().getTotalTokens();
        log.info("content: {}",content);
        log.info("totalTokens{} ",totalTokens);
        return content;
    }

    record LoveReport(String title, List<String> suggestions) {
    }

    /**
     * 结构化输出测试
     * @param message
     * @param chatId
     * @return
     */
    public LoveReport doChatWithReport(String message,String chatId){
        LoveReport loveReport = chatClient.prompt()
                .system(SYSTEM_PROMPT + "每次对话后都要生成恋爱结果，标题名为{用户名}的恋爱报告，内容为建议列表")
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10)  // 对话记忆大小
                )
                .call()
                .entity(LoveReport.class);


        log.info("LoveReport :{} ",loveReport);
        return loveReport;
    }
}
